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  • Is Cassandra database row size limited by available memory?

    - by Adam Hollidge
    I'm working with very long time series -- hundreds of millions of data points in one series -- and am considering Cassandra as a data store. In this question, one of the Cassandra committers (the über helpful jbellis) says that Cassandra rows can be very large, and that column slicing operations are faster than row slices, hence my question: Is the row size still limited by available memory?

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  • Is it possible to profile CPU / memory inside an Adobe AIR application?

    - by dain
    Couldn`t find any ActionScript native APIs even in the beta documentation, am I right supposing that this means the only way to measure CPU / memory consumption is by cooking up a custom native solution, hooking it up with AIR and making it work on each targeted platform? Basically the aim is to be able to have this information available inside AIR and not having to use an external application for profiling, not even Flex / Flash builder.

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  • What is the most efficient method to find x contiguous values of y in an array?

    - by Alec
    Running my app through callgrind revealed that this line dwarfed everything else by a factor of about 10,000. I'm probably going to redesign around it, but it got me wondering; Is there a better way to do it? Here's what I'm doing at the moment: int i = 1; while ( ( (*(buffer++) == 0xffffffff && ++i) || (i = 1) ) && i < desiredLength + 1 && buffer < bufferEnd ); It's looking for the offset of the first chunk of desiredLength 0xffffffff values in a 32 bit unsigned int array. It's significantly faster than any implementations I could come up with involving an inner loop. But it's still too damn slow.

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  • C#. Where struct methods code kept in memory?

    - by maxima120
    It is somewhat known where .NET keeps value types in memory (mostly in stack but could be in heap in certain circumstances etc)... My question is - where is the code of the struct? If I have say 16 byte of data fields in the struct and a massive computation method in it - I am presuming that 16 byte will be copied in stack and the method code is stored somewhere else and is shared for all instances of the struct. Are these presumptions correct?

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  • Do null SQLite Data fields take up extra memory?

    - by CSharperWithJava
    I'm using the built in sqlite library on the Android platform. I'm considering adding several general purpose fields that users will be able to use for their own custom applications, but these fields will be blank most of the time. My question is, how much overhead will these blank fields add to my database? Do null fields even take up per record memory in sqlite? If so, how much? I don't quite understand the inner workings of a sqlite database.

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  • Any way to reserve but not commit memory in linux?

    - by Eloff
    Windows has VirtualAlloc, which allows you to reserve a contiguous region of address space, but not actually use any physical memory. Later when you want to use it (or part of it) you call VirtualAlloc again to commit the region of previously reserved pages. This is actually really useful, but I want to eventually port my application to linux - so I don't want to use it if I can't port it later. Does linux have a way to do this?

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  • Efficient batch SQL query execution on Android, for upgrade database.

    - by Pentium10
    As we Android developers know, the SQLiteDatabase execSQL method can execute only one statement. The doc says: Execute a single SQL statement that is not a query. For example, CREATE TABLE, DELETE, INSERT, etc. Multiple statements separated by ;s are not supported. I have to load in a batch of records, 1000 and counting. How do I insert these efficiently? And what's the easiest way to deliver these SQLs with your apk? I mention, there is already a system database and I will run this on the onUpdate event. I have this code so far: List<String[]> li = new ArrayList<String[]>(); li.add(new String[] { "-1", "Stop", "0" }); li.add(new String[] { "0", "Start", "0" }); /* the rest of the assign */ try { for (String[] elem : li) { getDb().execSQL( "INSERT INTO " + TABLENAME + " (" + _ID + "," + NAME + "," + PARSE_ORDER + ") VALUES (?,?,?)", elem); } } catch (Exception e) { e.printStackTrace(); }

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  • C++ - Efficient way to iterate over the contents of a vector?

    - by Francisco P.
    Hello, everyone! I am implementing a text-based version of Scrabble for a college project. I have a vector containing around 400K strings (my dictionary), and, at some point in every turn, I'm going to have to check if any word in the dictionary can be formed with the pieces in the player's hand. My only solution to this is iterating through the string, one by one, and using a sub-routine I have to check if the string in question can be formed from the player's pieces. I'll implement a quickfail checking if the user has any vowels, but it'll still be woefully inefficient. Any suggestions? Thanks for your time!

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  • What's the most efficient way to manage large datasets with Javascript/jQuery in IE?

    - by RenderIn
    I have a search that returns JSON, which I then transform into a HTML table in Javascript. It repeatedly calls the jQuery.append() method, once for each row. I have a modern machine, and the Firefox response time is acceptable. But in IE 8 it is unbearably slow. I decided to move the transformation from data to HTML into the server-side PHP, changing the return type from JSON to HTML. Now, rather than calling the jQuery.append() time repeatedly, I call the jQuery.html() method once with the entire table. I noticed Firefox got faster, but IE got slower. These results are anecdotal and I have not done any benchmarking, but the IE performance is very disappointing. Is there something I can do to speed up the manipulation of large amounts of data in IE or is it simply a bad idea to process very much data at once with AJAX/Javascript?

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  • C++ - Efficient container for large amounts of searchable data?

    - by Francisco P.
    Hello, everybody! I am implementing a text-based version of Scrabble for a College project. My dictionary is quite large, weighing in at around 400.000 words (std::string). Searching for a valid word will suck, big time, in terms of efficiency if I go for a vector<string> ( O(n) ). Are there any good alternatives? Keep in mind, I'm enrolled in freshman year. Nothing TOO complex! Thanks for your time! Francisco

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  • Is there an efficient way to figure out the headers, cookies, and get/post data being passed to a si

    - by kryptobs2000
    More specifically I'm looking for something, perhaps an add-on for firefox, once enabled it logs all of this information as it's passed to and from the server. I'm doing some web scripting and this would be really handy. If anyone is wondering specifically what I'm doing currently I'm trying to make a script to repost my craigslist ad every 2 days since I handle a few things on there. Might even go so far as to make a simple gui to manage the submissions. I do suspect this goes against the ToS, for that reason I don't plan to release the code. Besides cl is already bad enough with spam, I'm not trying to contribute further to it, figured I'd say what I'm doing for the sake of being honest though. I don't have any bad intentions with this, just some things I've been trying to sell an ad for my pc repair business. I've been reposting some things for months now and so often I just forget to do it.

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  • Is there an in memory database that supports the DATE function?

    - by Chris J
    Hi, I am doing some unit testing for a DAO that works with postgresql. Some of the SQL queries that my DAO uses involve the DATE function. Is there an in-memory database that supports functions similar to the ones that postgresql does? Currently I am looking for support for the DATE function however, I obviously can see myself using other functions in the future.

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  • SQL JOIN with two or more tables as output - most efficient way?

    - by littlegreen
    I have an SQL query that executes a LEFT JOIN on another table, then outputs all results that could be coupled into a designated table. I then have a second SQL query that executes the LEFT JOIN again, then outputs the results that could not be coupled to a designated table. In code, this is something like: INSERT INTO coupledrecords SELECT b.col1, b.col2... s.col1, s.col2... FROM bigtable AS b LEFT JOIN smallertable AS s ON criterium WHERE s.col1 IS NOT NULL INSERT INTO notcoupledrecords SELECT b.col1, b.col2... bigtable AS b LEFT JOIN smallertable AS s ON criterium WHERE s.col1 IS NULL My question: I now have to execute the JOIN two times, in order to achieve what I want. I have a feeling that this is twice as slow as it could be. Is this true, and if yes, is there a way to do it more efficiently?

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